DocQA MCP
NPM · DOCQA-MCP · SCANNED AUG 3
AI document verification: catch hallucinations, arithmetic errors, and field mismatches.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →
Supply Chain Security87
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency19
- Repository check failed: the declared repository URL returned HTTP 404. See how to fix → View diagnostics → Fail
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 123 days ago).Pass
- Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability71
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 514 tokens (~102/item across 5 items; 5 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
- Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · docqa-mcp
claude mcp add com-agentsconsultants-api-docqa -- npx -y docqa-mcp
codex mcp add com-agentsconsultants-api-docqa -- npx -y docqa-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"com-agentsconsultants-api-docqa": {
"type": "local",
"command": [
"npx",
"-y",
"docqa-mcp"
],
"enabled": true
}
}
} openclaw mcp add com-agentsconsultants-api-docqa --command npx --arg -y --arg docqa-mcp
mcp_servers:
com-agentsconsultants-api-docqa:
command: "npx"
args: ["-y", "docqa-mcp"] {
"mcpServers": {
"com-agentsconsultants-api-docqa": {
"command": "npx",
"args": [
"-y",
"docqa-mcp"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 2 Aug 26 +63
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- Malware scan: unverified → pass ▲ security
- MCP protocol: unverified → pass ▲ functional
- Stability: unverified → 0.23 ▲ functional
- Schema quality: unverified → good ▲ functional
- Tool coverage: unverified → 100 ▲ functional
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Maintenance: unverified → pass ▲ functional
- Licence: MIT functional
- 31 Jul 26 −40
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 27 Jul 26 40
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 3 Aug 2026 · Analysed npm/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 95 packages
95 packages in the resolved dependency tree · 95 deprecated · 29 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
convert ~78
Convert a document between formats. Input formats: pdf, md, json, txt. Output formats: txt, md, json.
| Name | Type | Req | Description |
|---|---|---|---|
| file | string | yes | Base64-encoded source document |
| filename | string | — | Original filename with extension (optional) |
| from | string | yes | Source format |
| to | string | yes | Target output format |
No output schema declared.
No examples provided.
docqa-sample ~45
Fetch a sample DocQA verification report to understand the output format. Free, no API key needed for this tool. Use this to preview DocQA output before submitting real documents.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
docqa-verify ~254
Verify AI extraction results against an original document. Detects hallucinated values, arithmetic errors, and field mismatches. Returns a confidence score and detailed report.
| Name | Type | Req | Description |
|---|---|---|---|
| callerTool | string | — | Name of the tool that produced the extraction (e.g. 'tesseract', 'azure-form-recognizer'). DocQA will use a different method for independent verification. |
| document | string | — | Base64-encoded original document (PDF or image). Required for standard tier cross-extraction. Omit for basic pattern/arithmetic checks only. |
| extraction | object | yes | Key-value pairs of extracted fields to verify. Example: { invoice_number: 'INV-001', total: '$1,200.00', date: '03/15/2024' } |
| language | string | — | OCR language code for re-extraction (default: eng) |
| mode | string | — | gate: returns simple { pass, confidence, failReasons }. full (default): returns complete verification report. |
| tier | string | — | basic ($0.05): pattern + arithmetic checks only. standard ($0.50): full cross-extraction with OCR/PDF re-parse. Auto-detected from presence of 'document'. |
No output schema declared.
No examples provided.
ocr ~77
Extract text from an image using Tesseract OCR. Supports PNG, JPG, TIFF, BMP, WebP. Returns recognized text and confidence score.
| Name | Type | Req | Description |
|---|---|---|---|
| file | string | yes | Base64-encoded image file content |
| filename | string | — | Original filename (optional) |
| language | string | — | OCR language code (default: eng) |
No output schema declared.
No examples provided.
pdf-extract ~60
Extract structured text and tables from a PDF document. Returns text content, page count, detected tables, and metadata.
| Name | Type | Req | Description |
|---|---|---|---|
| file | string | yes | Base64-encoded PDF file content |
| filename | string | — | Original filename (optional, for logging) |
No output schema declared.
No examples provided.